Unreal Engine 5 Python Packages

tempo-sim

A collection of Unreal Engine plugins for simulation

micromegas

Unified observability for logs, metrics and traces — low overhead instrumentation (Rust, Unreal Engine 5), OTLP ingestion, SQL analytics on DataFusion over Parquet, presentation through notebooks, Grafana and Python. Self-hosted.

unreal-engine-mcp

Drive Unreal Engine 5 from an AI agent — MCP server over the Remote Control API and in-editor Python. No C++ plugin to compile.

gdep

Game Codebase Analysis AI Agentic Tool

unreal-api-mcp

Instant, accurate Unreal Engine API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations.

soft-ue-cli

Python CLI + UE plugin that lets Claude Code (AI coding agent) control Unreal Engine in real time. Spawn actors, edit blueprints, call functions, capture screenshots, manage PIE sessions, and more -- all from the terminal. Works with UE5 editor and packaged builds via an in-process HTTP bridge.

unrealmcp

AI bridge for Unreal Engine 5. Control the editor from Claude Code, Cursor, Windsurf, and any MCP client. Community edition of CodeFizz Editor Agent, which has 900+ commands across 28 categories on UE 5.6, 5.7 and 5.8.

pygvas

Unreal GVAS parsing to JSON and back again in Pure python

unreal-assets-to-glb

ue model+texture extractor. expected editor-time .uasset files (not game build), not requires engine installed

newton-clips

Clips from newton-physics simulation to Unreal Engine 5 runtime

unray

Rllib framework for using Unreal Engine 5 (UE5) as external environment for Reinforced Learning training process

vfxwindow

Python Qt Window class for compatibility between VFX programs

ueagents-envs

The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This project is a port of Unity ML-Agents, adapted to work within Unreal Engine.

ueagents

The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This project is a port of Unity ML-Agents, adapted to work within Unreal Engine.

unrayf

Rllib framework for using Unreal Engine 5 (UE5) as external environment for Reinforced Learning training process